Study Computer Science & Engineering at Tulas and gain expertise in software development, artificial intelligence, data science, cyber security and emerging technologies — through an AI-integrated curriculum.
The B.Tech in Computer Science & Engineering at Tulas is designed to create future-ready professionals for the IT industry.
The program provides an in-depth understanding of software development, networking, artificial intelligence, cyber security and cloud computing. With a strong emphasis on practical learning, coding skills and problem-solving, students gain hands-on experience in programming, database management, blockchain, machine learning and IoT — all aligned with current industry trends.
Code your future, innovate with technology, and transform the world with Tulas' B.Tech in Computer Science & Engineering.
The complete foundation — programming, systems, networks, and software engineering.
Deep learning, neural networks, and applied AI to build intelligent systems.
Analytics, big data, and statistical modelling to turn data into decisions.
Ethical hacking, network security, and digital forensics to defend systems.
Front-end to back-end — build complete, production-ready web applications.
Programming · Data Structures · Algorithms · Databases · Cloud · Web Technologies · Software Engineering
Programming, data structures, algorithms and core computing.
Databases, web technologies, cloud computing and software engineering.
AI, machine learning, deep learning, data science and computer vision.
Generative AI, Agentic AI, MLOps and emerging technology specialization.
Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem Analysis: Identify, formulate, research literature, and analyze complex Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and the cultural, societal, and environmental considerations.
Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for, sustainable development.
Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large — comprehend and write effective reports, make effective presentations, and give and receive clear instructions.
Artificial intelligence and machine learning woven across the curriculum to enhance how you learn, create and solve.
Earn industry-recognized certifications through IIT Kanpur E&ICT Academy and global partners including AWS, Microsoft, Google, NVIDIA and Oracle.
A future-focused curriculum continuously updated to match evolving technologies, industry trends and workplace expectations.
Build practical skills through live projects, hackathons, product development and real-world problem solving.
Bridge classroom learning with the real world through projects, industrial visits, expert interactions and corporate collaborations.
Explore Generative AI, Agentic AI, Cloud Computing, Computer Vision, Blockchain, IoT and other future technologies.
Develop corporate-ready skills through aptitude training, interview preparation, soft skills and placement support powered by TCCI.
Learn from experienced faculty and industry experts committed to continuous upskilling, mentorship and practical learning.
Innovate through research publications, funded projects, patents and a culture that encourages discovery and problem-solving.
Join a thriving network of 1000+ alumni working across leading MNCs, startups and government organizations.
Learn in advanced laboratories and technology centres designed for hands-on experimentation, innovation and industry-ready skills.
Grow beyond academics through coding clubs, innovation cells, hackathons, competitions and leadership opportunities.
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